Workers AI runs inference for Moonshot's Kimi K-series and Z.ai's GLM models on GPUs in Cloudflare data centers. These models are large, long-context, and mixture-of-experts types, presenting challenges in efficient serving due to memory constraints.

GLM 5.2 achieves accuracy comparable to a human book-keeper in preparing quarterly VAT returns for small UK businesses. The cost of using GLM 5.2 is less than 1% of traditional accounting services.

GLM 5.2 is anticipated to significantly impact AI economics, potentially leading to a collapse in profit margins within the industry. The DeepSeek R1 model previously prompted market concerns due to its training costs being estimated at under $6 million.

GLM 5.2 from Zhipu AI achieved a 39% F1 score on the IDOR detection benchmark, outperforming Claude Code, which scored 32%. Both models were evaluated on the same dataset and prompt, with GLM 5.2 costing approximately $0.17 per vulnerability found.

GLM-5.2 has become the leading open weights model on the Artificial Analysis Intelligence Index, scoring 51. It matches the size of GLM-5.1 with 744 billion total parameters and 40 billion active parameters, but surpasses it by 11 points in the Intelligence Index v4.1.